Not quite true. Algorithms like vgg-16 typically involve subtracting out the mean at the beginning for better performance. For example, look at https://pytorch.

Not quite true. Algorithms like vgg-16 typically involve subtracting out the mean at the beginning for better performance. For example, look at https://pytorch.org/docs/stable/torchvision/models.html https://pytorch.org/docs/stable/torchvision/models.html. Red has mean .486 and blue has mean .406. While this could be calculated from the dataset, it does seem like a lot of the frameworks like to hardcode it.